Finding Basis of Null Space and Range

In summary: Do you know how to show that this is a basis for M2x3?In summary, the conversation discusses proving T as a linear transformation and finding bases for both the null space and range. It is verified that T is a linear transformation and the null space is represented by all vectors of the form (t/2, t, -2t, b, b, b). The conversation also explores the concept of vectorizing a matrix and using a basis of six matrices to represent any matrix in M2x3.
  • #1
Gooolati
22
0

Homework Statement


Prove T is a linear transformation and find bases for both N(T) and R(T).


Homework Equations





The Attempt at a Solution




T:M2x3(F) [itex]\rightarrow[/itex] M2x2(F) defined by:

T(a11 a12 a13)
(a21 a22 a23)

(this is one matrix)
=

(2a11-a12 a13+2a12)
( 0 0)

(this is one matrix)

So I verified that it is a linear transformation by checking that T(cx+y)=cT(x)+T(y). But I don't understand how to find a basis for the null space and range.

I can see that since N(T)={x:T(x)=0} that N(T) here it all vectors of the form:

(t/2 t -2t)
( b b b)

(this is one matrix)

Since the 2nd row in our domain always goes to 0, the second row is arbitrary, which I represented by b.

How do I find a basis for all multiples of the matrix

t(1/2 1 -2)
( b b b)?

And I'm not even sure on how to start off finding the basis for the range. All help is appreciated. Thanks!
 
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  • #2
do you have any idea of what the dimension of M2x3(F) is?

can you think of a basis for it?

can you express N(T) in terms of this basis?

alternately: do you know how to "vectorize" a matrix?

suppose you "vectorized" the elements of M2x3(F) and M2x2(F). could you pick bases for these spaces, and calculate a matrix for T in terms of those bases? what size would it have? could you find its rank and nullity?
 
  • #3
do you have any idea of what the dimension of M2x3(F) is?

Since it is 2x3, the dimension would be 6?

Because we would need 6 vectors:

\begin{array}{ccc}
1 & 0 & 0 \\
0 & 0 & 0 \end{array},

\begin{array}{ccc}
0 & 0 & 0 \\
1 & 0 & 0 \end{array},

\begin{array}{ccc}
0 & 1 & 0 \\
0 & 0 & 0 \end{array}

\begin{array}{ccc}
0 & 0 & 0 \\
0 & 1 & 0 \end{array},

\begin{array}{ccc}
0 & 0 & 1 \\
0 & 0 & 0 \end{array}

\begin{array}{ccc}
0 & 0 & 0 \\
0 & 0 & 1 \end{array}

N(T) in terms of this basis would be multiples of:

(1/2)(first matrix)+(third matrix)+(-2)(fifth matrix)?

Something doesn't seem right to be hmm.

Also, what do you mean by vectorizing?
 
  • #4
Gooolati said:
do you have any idea of what the dimension of M2x3(F) is?

Since it is 2x3, the dimension would be 6?

Because we would need 6 vectors:

<snip>

N(T) in terms of this basis would be multiples of:

(1/2)(first matrix)+(third matrix)+(-2)(fifth matrix)?

Something doesn't seem right to be hmm.
Good start. But what about the second matrix? Doesn't T map that to 0 as well? What about the other basis elements?

Also, what do you mean by vectorizing?
You can express any matrix in M2x3 as a linear combination of those six matrices, so if you label those six matrices e1, … , e6, you could write
$$\begin{pmatrix} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \end{pmatrix} = a_{11}\mathbf{e}_1 + a_{21}\mathbf{e}_2 + a_{12}\mathbf{e}_3 + a_{22}\mathbf{e}_4 + a_{13}\mathbf{e}_5 + a_{23}\mathbf{e}_6$$ This matrix would therefore correspond to the coordinate vector ##(a_{11}, a_{21}, a_{12}, a_{22}, a_{13}, a_{23})^T##.
 

Related to Finding Basis of Null Space and Range

1. What is the null space of a matrix?

The null space of a matrix is the set of all vectors that, when multiplied by the matrix, result in a zero vector. In other words, it is the set of all solutions to the equation Ax = 0, where A is the given matrix.

2. How do you find the basis of the null space?

To find the basis of the null space, we first reduce the matrix to its reduced row echelon form. Then, the non-pivotal columns in the reduced matrix correspond to the free variables in the solution set. The basis of the null space is made up of the columns in the original matrix that correspond to these free variables.

3. What is the range of a matrix?

The range of a matrix is the set of all possible output vectors when the matrix is multiplied by a set of input vectors. In other words, it is the set of all possible solutions to the equation Ax = b, where A is the given matrix and b is a vector.

4. How do you find the basis of the range?

To find the basis of the range, we first reduce the matrix to its reduced row echelon form. Then, the pivotal columns in the reduced matrix correspond to the pivot variables in the solution set. The basis of the range is made up of the columns in the original matrix that correspond to these pivot variables.

5. What is the relationship between the null space and the range?

The null space and the range of a matrix are complementary subspaces. This means that the dimensions of the null space and the range add up to the number of columns in the matrix. Additionally, any vector in the null space is orthogonal to any vector in the range.

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